Hypothetical
Case study 1
Tier-2 Bank — inflation-indexed loan products
Customer profile
Mid-size Lagos commercial bank, ~₦500B asset base, retail + SME lending desk.
The problem
Personal loan APRs need to track Nigerian inflation in near-real-time, but the NBS monthly bulletin is published ~30 days lagged. Neobanks are repricing weekly off informal signals; this bank's quarterly committee cycle leaves it priced wrong for 8–12 weeks at a stretch.
How they'd use PriceRadar
- Daily polling of /api/petrol, /api/gas, and /api/fx (parallel + official)
- Custom basket: 8 staple commodities — cement, rice, garri, fuel, gas, MTN data, generator diesel, basic foodstuff index
- Weekly composite index pushed straight into their loan-pricing engine via webhook
- Quarterly Enterprise review session to recalibrate the basket weights
- Custom Slack channel for incident notification when basket components move >7% week-over-week
Suggested tier
Growth → Enterprise
$200/mo, upgrading to $1k+/mo at 6 months for hosted dashboard
See pricing tiers →Illustrative outcome
Illustrative: index-tied APRs let the bank price competitively against neobanks without re-convening the credit committee weekly. Modelled outcome: 18% increase in approved loan volume from no longer pricing themselves out of fast-moving segments.